| Mistral 7B AQ Jiang, A Sablayrolles, A Mensch, C Bamford, DS Chaplot, D Casas, ... arXiv preprint arXiv:2310.06825, 2023 | 3092* | 2023 |
| Mixtral of experts AQ Jiang, A Sablayrolles, A Roux, A Mensch, B Savary, C Bamford, ... arXiv preprint arXiv:2401.04088, 2024 | 872 | 2024 |
| Playing FPS Games with Deep Reinforcement Learning G Lample*, DS Chaplot* 31st AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, USA., 2016 | 773 | 2016 |
| On evaluation of embodied navigation agents P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ... arXiv preprint arXiv:1807.06757, 2018 | 752 | 2018 |
| Learning to Explore using Active Neural SLAM DS Chaplot, D Gandhi, S Gupta, A Gupta, R Salakhutdinov International Conference on Learning Representations, 2020 | 556 | 2020 |
| Object Goal Navigation using Goal-Oriented Semantic Exploration DS Chaplot, DP Gandhi, A Gupta, RR Salakhutdinov Advances in Neural Information Processing Systems 33, 2020 | 481 | 2020 |
| Habitat 2.0: Training home assistants to rearrange their habitat A Szot, A Clegg, E Undersander, E Wijmans, Y Zhao, J Turner, N Maestre, ... Advances in neural information processing systems 34, 251-266, 2021 | 467 | 2021 |
| Gated-Attention Architectures for Task-Oriented Language Grounding DS Chaplot, K Mysore Sathyendra, RK Pasumarthi, D Rajagopal, ... 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA, 2018 | 309* | 2018 |
| Neural Topological SLAM for Visual Navigation DS Chaplot, R Salakhutdinov, A Gupta, S Gupta Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 299 | 2020 |
| Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks DS Chaplot, E Rhim, J Kim Proceedings of 17th International Conference on Artificial Intelligence in …, 2015 | 163 | 2015 |
| FILM: Following Instructions in Language with Modular Methods SY Min, DS Chaplot, P Ravikumar, Y Bisk, R Salakhutdinov International Conference on Learning Representation, 2022 | 145 | 2022 |
| Poni: Potential functions for objectgoal navigation with interaction-free learning SK Ramakrishnan, DS Chaplot, Z Al-Halah, J Malik, K Grauman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 134 | 2022 |
| Active Neural Localization DS Chaplot, E Parisotto, R Salakhutdinov 6th International Conference on Learning Representations (ICLR-18 …, 2018 | 113 | 2018 |
| Knowledge-based Word Sense Disambiguation using Topic Models DS Chaplot, R Salakhutdinov 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA., 2018 | 104 | 2018 |
| Gated path planning networks L Lee, E Parisotto, DS Chaplot, E Xing, R Salakhutdinov ICML 2018, 2018 | 101 | 2018 |
| Global pose estimation with an attention-based recurrent network E Parisotto*, DS Chaplot*, J Zhang, R Salakhutdinov Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 93 | 2018 |
| Navigating to objects in the real world T Gervet, S Chintala, D Batra, J Malik, DS Chaplot Science Robotics 8 (79), eadf6991, 2023 | 87 | 2023 |
| Semantic curiosity for active visual learning DS Chaplot, H Jiang, S Gupta, A Gupta Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 83 | 2020 |
| Seal: Self-supervised embodied active learning using exploration and 3d consistency DS Chaplot, M Dalal, S Gupta, J Malik, RR Salakhutdinov Advances in neural information processing systems 34, 13086-13098, 2021 | 75 | 2021 |
| No rl, no simulation: Learning to navigate without navigating M Hahn, DS Chaplot, S Tulsiani, M Mukadam, JM Rehg, A Gupta Advances in Neural Information Processing Systems 34, 26661-26673, 2021 | 75 | 2021 |
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
